Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study
A wide variability of odour impact criteria is found around the world. The objective of this research work was to evaluate the influence of the uncertainties related to some individual stages of odour impact assessment in the application of regulatory criteria. The evaluation procedure was establish...
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MDPI AG
2020-09-01
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Online Access: | https://www.mdpi.com/2073-4433/11/9/962 |
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author | Marco Ravina Salvatore Bruzzese Deborah Panepinto Mariachiara Zanetti |
author_facet | Marco Ravina Salvatore Bruzzese Deborah Panepinto Mariachiara Zanetti |
author_sort | Marco Ravina |
collection | DOAJ |
description | A wide variability of odour impact criteria is found around the world. The objective of this research work was to evaluate the influence of the uncertainties related to some individual stages of odour impact assessment in the application of regulatory criteria. The evaluation procedure was established by following the guidelines of the Northern Italian regions. A wastewater treatment plant located in Northern Italy was considered as a case study. Odour dispersion modelling was carried out with the CALPUFF model. The study focused on two phases of the assessment. The first phase was the selection of the meteorology datasets. For low odour concentration thresholds (C<sub>T</sub> = 1 OU m<sup>−3</sup>), the results showed that two different years (2018 and 2019) provided similar patterns of the separation distances. The difference between the two years tended to increase by increasing the value of the concentration threshold (C<sub>T</sub> = 3 OU m<sup>−3</sup> and C<sub>T</sub> = 5 OU m<sup>−3</sup>). The second phase of the assessment was the selection of the open field correction method for wind velocity used in the calculation of odour emission rates (OERs). Three different relationships were considered: the power law, the logarithmic law and the Deaves–Harris (D–H) law. The results showed that OERs and separation distances varied depending on the selected method. Taking the power law as the reference, the average variability of the separation distances was between −7% (D–H law) and +10% (logarithmic law). Higher variability (up to 25%) was found for single transport distances. The present study provides knowledge towards a better alignment of the concept of the odour impact criteria. |
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issn | 2073-4433 |
language | English |
last_indexed | 2024-03-10T16:26:24Z |
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spelling | doaj.art-62279baf6a51459a80059ae65810c6a92023-11-20T13:09:56ZengMDPI AGAtmosphere2073-44332020-09-0111996210.3390/atmos11090962Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case StudyMarco Ravina0Salvatore Bruzzese1Deborah Panepinto2Mariachiara Zanetti3Department of Environment, Land and Infrastructure Engineering, Turin Polytechnic, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Environment, Land and Infrastructure Engineering, Turin Polytechnic, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Environment, Land and Infrastructure Engineering, Turin Polytechnic, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyDepartment of Environment, Land and Infrastructure Engineering, Turin Polytechnic, Corso Duca degli Abruzzi 24, 10129 Turin, ItalyA wide variability of odour impact criteria is found around the world. The objective of this research work was to evaluate the influence of the uncertainties related to some individual stages of odour impact assessment in the application of regulatory criteria. The evaluation procedure was established by following the guidelines of the Northern Italian regions. A wastewater treatment plant located in Northern Italy was considered as a case study. Odour dispersion modelling was carried out with the CALPUFF model. The study focused on two phases of the assessment. The first phase was the selection of the meteorology datasets. For low odour concentration thresholds (C<sub>T</sub> = 1 OU m<sup>−3</sup>), the results showed that two different years (2018 and 2019) provided similar patterns of the separation distances. The difference between the two years tended to increase by increasing the value of the concentration threshold (C<sub>T</sub> = 3 OU m<sup>−3</sup> and C<sub>T</sub> = 5 OU m<sup>−3</sup>). The second phase of the assessment was the selection of the open field correction method for wind velocity used in the calculation of odour emission rates (OERs). Three different relationships were considered: the power law, the logarithmic law and the Deaves–Harris (D–H) law. The results showed that OERs and separation distances varied depending on the selected method. Taking the power law as the reference, the average variability of the separation distances was between −7% (D–H law) and +10% (logarithmic law). Higher variability (up to 25%) was found for single transport distances. The present study provides knowledge towards a better alignment of the concept of the odour impact criteria.https://www.mdpi.com/2073-4433/11/9/962odourdispersion modellingwastewater treatmentodour impact criteriaseparation distances |
spellingShingle | Marco Ravina Salvatore Bruzzese Deborah Panepinto Mariachiara Zanetti Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study Atmosphere odour dispersion modelling wastewater treatment odour impact criteria separation distances |
title | Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study |
title_full | Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study |
title_fullStr | Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study |
title_full_unstemmed | Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study |
title_short | Analysis of Separation Distances under Varying Odour Emission Rates and Meteorology: A WWTP Case Study |
title_sort | analysis of separation distances under varying odour emission rates and meteorology a wwtp case study |
topic | odour dispersion modelling wastewater treatment odour impact criteria separation distances |
url | https://www.mdpi.com/2073-4433/11/9/962 |
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